# Kintone

> Use this tool when you need to integrate AI capabilities with Kintone low-code platform to automate business processes, retrieve data, or create records through natural language interactions. It solves problems such as manual data entry, complex reporting, and process optimization by enabling AI agents to interact with Kintone applications. With Node.js and MCP SDK as inputs, it outputs automated workflows, intelligent reports, and enhanced business process management within Kintone.

Canonical page: https://skillsregistry.net/skills/r3-yamauchi-kintone  
JSON: https://api.skillsregistry.net/v1/skills/r3-yamauchi-kintone

## Description

This MCP server for Kintone, developed by r3-yamauchi, integrates the Model Context Protocol with the Kintone low-code platform API. Built with Node.js and leveraging the MCP SDK, it enables AI agents to interact with Kintone applications through natural language. The implementation focuses on bridging the gap between AI and business process management, allowing for operations like data retrieval, record creation, and workflow automation within Kintone. It's particularly useful for organizations looking to enhance their Kintone-based systems with AI capabilities, enabling use cases such as automated data entry, intelligent reporting, and AI-assisted process optimization without directly dealing with the complexities of the Kintone API.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/r3-yamauchi-kintone)
- **Repository:** <https://github.com/r3-yamauchi/kintone-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "r3-yamauchi-kintone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/r3-yamauchi-kintone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/r3-yamauchi-kintone/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
